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Road Accident Proneness Indicator Based On Time, Weather And Location Specificity Using Graph Neural Networks
[article]
2020
arXiv
pre-print
In this paper, we present a novel approach to identify the Spatio-temporal and environmental features that influence the safety of a road and predict its accident proneness based on these features. A total of 14 features were compiled based on Time, Weather, and Location (TWL) specificity along a road. To determine the influence each of the 14 features carries, a sensitivity study was performed using Principal Component Analysis. Using the locations of accident warnings, a Safety Index was
arXiv:2010.12953v1
fatcat:z5yndjnlmfftnhfw3me22rqbnm